Estimation of Nonlinear Parameters from Simulated Data of an Aircraft

The current paper discusses an attempt for estimating Non-linear parameter by an improvement to well known Neural Gauss Newton(NGN) method, which makes the method capable of estimating nonlinear parameters from flight data. The estimation is carried over for a set of simulated data with various control surface combinations. Then the estimation is carried out for the simulated data with selected control surface combination, for which noise is added, to test the handling capabilities of the Improved Neural Gauss Newton(INGN) method.